Kalyani Subbiah is a Data Engineer II based in New York with eight years of experience translating advanced analytics into production-ready data platforms at firms including QuantumBlack/ McKinsey and Syntax. With a strong academic foundation from IIT Madras and Columbia (MS in Quantitative Methods, 3.9 GPA), she blends rigorous quantitative training and economics insight to design scalable, reliable data solutions. Her background spans research and volunteer projects—ranging from Columbia Business School research assistance to DataKind—highlighting a commitment to applied, mission-driven analytics. At QuantumBlack she works at the intersection of AI and business strategy, operationalizing models for high-impact clients. Kalyani also shares technical perspectives on Medium, signalling an interest in communicating complex data topics beyond engineering teams. Colleagues can expect a data engineer who pairs meticulous technical craft with an economist’s appreciation for measurable outcomes.
9 years of coding experience
5 years of employment as a software developer
Indian Institute of Technology Madras
IB Diploma, IB Diploma at International Baccalaureate
Master's degree Quantitative Methods (Data Science Focus), Master's degree Quantitative Methods (Data Science Focus) at Columbia University
Contributions:3 pushes, 1 branch in 2 years 6 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.